{"id":"W4394229865","doi":"10.6084/m9.figshare.19211339","title":"Additional file 2 of Effects of hyperinsulinemia on pancreatic cancer development and the immune microenvironment revealed through single-cell transcriptomics","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hyperinsulinemia; Transcriptome; Pancreatic cancer; Immune system; Tumor microenvironment; Biology; Cancer; Cancer research; Immunology; Endocrinology; Insulin; Genetics; Gene; Gene expression; Insulin resistance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001228138,0.001522097,0.001734944,0.001954329,0.0008432794,0.002212606,0.002149305,0.001979137,0.3980555],"category_scores_gemma":[0.01012127,0.000585201,0.001376546,0.003133403,0.0003756215,0.001136167,0.001301174,0.001494324,0.08173373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050077,"about_ca_system_score_gemma":0.002103082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008089095,"about_ca_topic_score_gemma":0.01696797,"domain_scores_codex":[0.9992878,0.00009833129,0.00008967881,0.0002773597,0.0001300374,0.0001167468],"domain_scores_gemma":[0.9945995,0.003729123,0.0003408917,0.0004745307,0.0005937457,0.000262198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003774256,0.00009016706,0.004269787,0.004589385,0.0001706589,0.0001006451,0.00005638874,0.0007943223,0.0005183629,0.0006444936,0.9839204,0.004467952],"study_design_scores_gemma":[0.00409506,0.0002047733,0.03202472,0.00240788,0.0004557509,0.000518024,0.0002303147,0.001672623,0.001752954,0.006136059,0.950381,0.0001208081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007829009,0.00002073951,0.00004422491,0.00002282003,0.000006315469,0.00000869894,0.9996167,0.00007256556,0.0001295223],"genre_scores_gemma":[0.001270944,0.00005555008,0.0004663726,0.0001030618,0.00001049368,0.0002221823,0.9969984,0.00009119457,0.0007818472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3980555,"threshold_uncertainty_score":0.8586009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093586713192853,"score_gpt":0.2263072885453788,"score_spread":0.2153714214134503,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}